1 citations · 2 across the 8 of their papers we have counts for
10 papers
Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models
Andy Catruna, Emilian Radoi
While the internal mechanisms of autoregressive (AR) transformers have been studied extensively, much less is known about diffusion language models (DLMs), an emerging alternative…
MoME: Estimating Psychological Traits from Gait with Multi-Stage Mixture of Movement Experts
Andy Cǎtrunǎ, Adrian Cosma, Emilian Rǎdoi
Gait encodes rich biometric and behavioural information, yet leveraging the manner of walking to infer psychological traits remains a challenging and underexplored problem. We intr…
Database-Agnostic Gait Enrollment using SetTransformers
Nicoleta Basoc, Adrian Cosma, Andy Cǎtrunǎ +1
Gait recognition has emerged as a powerful tool for unobtrusive and long-range identity analysis, with growing relevance in surveillance and monitoring applications. Although recen…
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition
Adrian Cosma, Andy Cǎtrunǎ, Emilian Rǎdoi
Gait recognition from video streams is a challenging problem in computer vision biometrics due to the subtle differences between gaits and numerous confounding factors. Recent adva…
Aligning Actions and Walking to LLM-Generated Textual Descriptions
Radu Chivereanu, Adrian Cosma, Andy Catruna +2
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, including data augmentation and synthetic data generation. This work explores the use of…
Gait Recognition from Highly Compressed Videos
Andrei Niculae, Andy Catruna, Adrian Cosma +2
Surveillance footage represents a valuable resource and opportunities for conducting gait analysis. However, the typical low quality and high noise levels in such footage can sever…
The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models
Andy Cătrună, Adrian Cosma, Emilian Rădoi
Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions. This study challenges the…
CrossGaze: A Strong Method for 3D Gaze Estimation in the Wild
Andy Cătrună, Adrian Cosma, Emilian Rădoi
Gaze estimation, the task of predicting where an individual is looking, is a critical task with direct applications in areas such as human-computer interaction and virtual reality.…
GaitPT: Skeletons Are All You Need For Gait Recognition
Andy Catruna, Adrian Cosma, Emilian Radoi
The analysis of patterns of walking is an important area of research that has numerous applications in security, healthcare, sports and human-computer interaction. Lately, walking…
From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
Andy Catruna, Adrian Cosma, Ion Emilian Radoi
Obtaining demographics information from video is valuable for a range of real-world applications. While approaches that leverage facial features for gender inference are very succe…